about

hello! i am moksh shah, a student at georgia tech studying computer science with a focus on system architecture and artificial intelligence. i am deeply interested in making cool software products and working with great people. i'm a full stack engineer at heart and i love working on building beautiful uis with clean, efficient backends. my go-to tech stack consists of react and go, but i am always open to learning new technologies.

right now, i am working on a few projects in the realm of sports technology that i'm very excited about, both as a developer and equity holder. in my own time, im building in cpp and studying data structures and algos. super interested in finance and the world of quant finance.


experiences

software engineer intern @ meaglabs.xyz

jan 2024 - present

i was hired as a software engineering intern at megalabs, an ai venture firm. i was responsible for creating the application layer for an ai sports data analyst. the magic is a custom text-to-sql engine which takes user questions and automatically generates sql queries, which we intelligently debug on the fly. i was also responsible for creating the product's rest apis and utilized web socket connections for response streaming. we also utilized the t3 stack for frontend/backend communication. we are in the midst of expanding and fundraising.

software engineer and founder @ avalon

feb 2024 - jun 2024

since february 2024, i've been working as an engineer and technical lead at avalon in berkeley, ca. alongside a talented team of three engineers, i've been developing a retrieval-augmented generation chatbot tailored for law firms. this chatbot automates eDiscovery and drafts motions and briefs by leveraging tens of thousands of case files using technologies like pinecone, nextjs, dynamodb, typescript, and go. i've also spearheaded the creation of a web socket file transfer pipeline to aws s3, ensuring efficient downstream feeding into our rag model. moreover, i've optimized our language models with langchain to assess the probability of case wins, aggregating metrics from various documents to enhance decision-making processes. as a team, we sucessfully pitched to various venture capitalists and had a couple law firms using our product. we decided put the pause on this until we graduate.

lead engineer @ opsmpro

may 2021 - sept 2024

since june 2023, i’ve been the go-to person for all things tech at opsm pro in ottawa, ca, as their lead full stack engineer. i built our main e-commerce site using the mern stack (mongo, expressjs, react, nodejs) from the ground up. integrating the stripe api, i set up a system to handle over a dozen products and subscriptions, helping us process more than $1,000,000 in payments each year. plus, i designed and implemented mysql databases to keep all our user and customer info safe.


projects

github.com/mnshah0101/futuresalphamomentumbacktest

backtested alpha momentum model which took historical alphas and predicted price direction using a neural network recreated idea from peer reviewed research paper. implemented in python.

github.com/mnshah0101/VectorVisualizationCpp

c++ project that helps visualize vector operations in 3-d space with opengui

github.com/mnshah0101/zetamactracker

chrome extension that helps track zetamac scores (mental math game). developed in js. can download here: get now

counsia.com

an edtech platform that connects students with college counselors to help them get into their dream schools. i built the entire platform from scratch using the meen stack (mongodb, expressjs, ejs, nodejs) and integrated the stripe api to handle payments. i also created a custom admin dashboard to manage user data and track counselor availability.

spindleapi.com

a powerful ai-powered api generator and serverless hosting provider that fully automates generating apis from mongo schemas. created using the mern stack.

contact

if you want to get in touch, feel free to email me at mshah415 [at] gatech [dot] edu.